基于信任云的无线传感器网络信任评估

无线传感器网络中基于云的信任模型没有考虑到节点间信任关系的时效性，其信任合并采用直接求平均的方法也不符合人的直观判断。针对上述问题，提出了一种新的基于信任云的无线传感器网络信任评估模型。该模型通过节点的近期行为表现给历史信任云和近期信任云分配相应的权重，同时利用相似度对直接信任云和推荐信任云进行了权重修正。实验结果表明：该模型不但可以抵抗恶意节点的多种攻击行为，而且能够实时、准确地发现恶意节点，较原模型性能更优。

Trust evaluation for wireless sensor networks based on trust-cloud

Cloud-based trust model in wireless sensor networks does not take account of the timeliness of trust relationship between nodes, and the trust combination which adoptes the method of direct averaging is not in accordance with peoples intuitive judgments. Aiming to solve these problems, a new trust evaluation model for wireless sensor networks based on trust-cloud was proposed. This model distributed the weights of the recent trust-cloud and the historical trust-cloud according to the recent behavior of nodes, and amended the weights of the direct trust-cloud and the recommended trust-cloud using the similarity degree respectively. The simulation results indicate that this model is superior to the original one: it can not only resist attacks of malicious nodes, but also identify malicious nodes accurately in real time.